Optimal tracking interval for predictive tracking in wireless sensor network

Document Type

Article

Publication Date

9-1-2005

Abstract

An important application of wireless sensor networks is tracking moving objects. Prediction-based techniques have been proposed to reduce the power consumption in wireless sensor networks by limiting the sensor active time. This paper proposes a quantitative method to optimize the power efficiency by analyzing the effect of prediction on the energy consumption in such networks. To our best knowledge, our efforts are the first attempt made to calculate the optimal tracking interval for a given predictive tracking algorithm. Based on this method, the lifetime and power efficiency of a sensor network can be effectively improved. © 2005 IEEE.

Identifier

27844487956 (Scopus)

Publication Title

IEEE Communications Letters

External Full Text Location

https://doi.org/10.1109/LCOMM.2005.1506709

ISSN

10897798

First Page

805

Last Page

807

Issue

9

Volume

9

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